Legal claims defining the scope of protection. Each claim is shown in both the original legal language and a plain English translation.
1. A detection system for a distributed water infrastructure, wherein the system is configured to determine at least one of a human health or lifestyle state from water usage patterns in the distributed water infrastructure, the system comprising: at least one processor configured to: receive from at least one sensor associated with the distributed water infrastructure signals indicative of water usage in the distributed water infrastructure; determine from the signals indicative of water usage a current water usage pattern; access a database of a plurality of stored water usage patterns, wherein at least one stored water usage pattern is associated with at least one human health or lifestyle state; compare at least one current water usage pattern with at least some of the stored water usage patterns; based on the comparison, identify a human health or lifestyle condition reflected by the current water usage pattern; and institute a remedial action corresponding to the identified human health or lifestyle state; wherein the at least one processor is configured to receive an identity of the particular individual and to record water usage behavioral patterns of the particular individual based on detection of the water usage patterns; and wherein differing water usage patterns are stored for differing numbers of individuals using the distributed water system, and wherein the processor is configured to at least generally determine a current number of individuals using the distributed water system and to select a stored water usage pattern for comparison purposes based on the generally determined current number of individuals using the distributed water system.
The detection system monitors a distributed water infrastructure to assess human health or lifestyle states by analyzing water usage patterns. The system uses sensors to collect data on water usage, which is processed to identify current usage patterns. These patterns are compared against a database of stored patterns, each linked to specific health or lifestyle conditions. When a match is found, the system triggers a remedial action, such as alerting the user or adjusting water flow. The system can track individual water usage behaviors by associating patterns with specific users, allowing for personalized health or lifestyle insights. It also adapts to varying numbers of users by selecting relevant stored patterns based on the estimated current occupancy. This approach enables early detection of health issues, such as dehydration or illness, or lifestyle changes, such as sleep disturbances, by analyzing deviations in water consumption habits. The system improves public health monitoring and intervention in residential or commercial water networks.
2. A detection system for a distributed water infrastructure, wherein the system is configured to determine at least one of a human health or lifestyle state from water usage patterns in the distributed water infrastructure, the system comprising: at least one processor configured to: receive from at least one sensor associated with the distributed water infrastructure signals indicative of water usage in the distributed water infrastructure; determine from the signals indicative of water usage a current water usage pattern; access a database of a plurality of stored water usage patterns, wherein at least one stored water usage pattern is associated with at least one human health or lifestyle state; compare at least one current water usage pattern with at least one of the stored water usage patterns; based on the comparison, identify a human health or lifestyle state reflected by the current water usage pattern: and institute a remedial action corresponding to the identified human health or lifestyle state, wherein the at least one processor is configured to determine based on at least one of the plurality of stored usage patterns a number of toilet flushes above a threshold, wherein the associated health state is a digestive disorder, and wherein the remedial action is to send a message indicating a probable digestive disorder.
The detection system monitors a distributed water infrastructure to assess human health or lifestyle states by analyzing water usage patterns. The system uses sensors to collect data on water consumption across the infrastructure, such as residential or municipal networks. A processor analyzes the data to identify current usage patterns, which are compared against a database of pre-stored patterns linked to specific health or lifestyle conditions. For example, if the system detects an abnormal number of toilet flushes exceeding a predefined threshold, it may infer a digestive disorder and trigger a remedial action, such as sending a notification to the user or a healthcare provider. The system can also detect other patterns, such as reduced water usage indicating dehydration or irregular showering habits suggesting lifestyle changes. The goal is to provide early warnings or interventions based on water usage anomalies, improving health monitoring and lifestyle management without direct human input. The system integrates sensor data, pattern recognition, and automated responses to create a proactive health and lifestyle monitoring tool.
3. The system of claim 2 , wherein at least one stored water usage pattern is associated with at least one particular appliance.
Water usage monitoring systems track and analyze water consumption patterns to detect leaks, optimize usage, and improve efficiency. A key challenge is accurately identifying and associating specific water usage patterns with individual appliances to enable targeted diagnostics and automation. This system enhances water monitoring by linking stored water usage patterns to specific appliances. The system includes sensors that measure water flow rates and durations, storing this data as usage patterns. Machine learning or statistical analysis compares these patterns to known appliance signatures (e.g., a dishwasher’s cyclic flow or a toilet’s short burst) to determine which appliance is active. The system may also use appliance-specific identifiers, such as timestamps or user inputs, to refine associations. By correlating patterns with appliances, the system can detect anomalies (e.g., continuous flow when a washing machine is off) and trigger alerts or automated shutoffs. This improves leak detection, reduces water waste, and enables predictive maintenance. The system may integrate with smart home networks to provide appliance-specific usage reports or control recommendations.
4. The system of claim 3 , wherein at least one stored water usage pattern is associated with at least one particular individual.
A system for monitoring and analyzing water usage patterns in a building or facility is designed to optimize water consumption and detect anomalies. The system includes sensors to measure water flow rates at various points within the plumbing network, such as faucets, showers, and appliances. These sensors transmit real-time data to a central processing unit, which records and analyzes the data to identify usage patterns. The system can store multiple water usage patterns, each associated with a specific individual or group of individuals. By correlating water usage with individual behavior, the system can detect deviations from normal usage, such as leaks or excessive consumption, and alert users or administrators. The system may also integrate with smart devices to automate water shut-off in case of detected leaks or unauthorized usage. Additionally, the system can provide personalized feedback to individuals to encourage water conservation. The stored patterns allow for historical analysis, enabling the system to adapt to changing usage habits over time. The goal is to improve water efficiency, reduce waste, and enhance maintenance by leveraging data-driven insights.
5. The system of claim 4 , wherein the at least one processor is configured to receive an identity of the at least one particular individual and to record water usage behavioral patterns of the at least one particular individual based on detection of the current water usage pattern.
This invention relates to a water usage monitoring system designed to track and analyze individual water consumption patterns. The system addresses the problem of inefficient water management by identifying specific behavioral patterns of water usage among individuals, enabling targeted conservation efforts and leak detection. The system includes at least one processor configured to receive an identity of a particular individual and monitor their water usage in real-time. By detecting and recording the current water usage pattern, the system establishes a behavioral profile for that individual. This allows for personalized insights into usage habits, such as frequent high-consumption events or irregular usage that may indicate leaks or waste. The system builds on a broader water monitoring framework that includes sensors to detect water flow, pressure, and other relevant metrics. These sensors provide data to the processor, which processes the information to identify anomalies or deviations from typical usage patterns. The recorded behavioral patterns can then be used to generate alerts, recommendations, or automated adjustments to water distribution systems. By focusing on individual behavior, the system enhances water conservation efforts, reduces unnecessary consumption, and improves the efficiency of water distribution networks. The ability to track and analyze specific users' habits distinguishes this approach from generic water monitoring systems, offering a more precise and actionable solution for sustainable water management.
6. The system of claim 3 , wherein the at least one particular appliance includes at least one of a washing machine, a toilet, and a dishwasher.
This invention relates to a smart home system for monitoring and controlling water usage in residential appliances. The system addresses the problem of water waste and inefficiency in household appliances by providing real-time monitoring, automated control, and predictive maintenance capabilities. The system includes sensors for detecting water flow, pressure, and temperature, as well as actuators for controlling water supply to connected appliances. A central controller processes sensor data to optimize water usage, detect leaks, and prevent appliance malfunctions. The system can integrate with a user interface for remote monitoring and control via a mobile device or web portal. The invention also includes predictive algorithms that analyze historical usage patterns to forecast maintenance needs and suggest water-saving adjustments. The system is designed to work with various water-consuming appliances, including washing machines, toilets, and dishwashers, to ensure efficient and sustainable water management in households. By automating water control and providing actionable insights, the system helps reduce water waste, lower utility costs, and extend the lifespan of connected appliances.
7. The system of claim 2 , wherein the health or lifestyle state further includes a cognitive impairment and wherein the remedial action includes sending an alert associated with the determined cognitive impairment.
The invention relates to a health monitoring system designed to detect and address cognitive impairments in individuals. The system continuously monitors health or lifestyle data, such as physiological signals, activity patterns, or environmental factors, to identify deviations indicative of cognitive decline. When a cognitive impairment is detected, the system triggers a remedial action by sending an alert to relevant parties, such as caregivers or medical professionals. The alert may include details about the nature and severity of the impairment, enabling timely intervention. The system may also integrate with wearable or stationary sensors to gather real-time data, ensuring accurate and prompt detection. By automating the identification and reporting of cognitive impairments, the system aims to improve early intervention and reduce risks associated with untreated cognitive decline. The invention enhances traditional health monitoring by specifically targeting cognitive health, addressing a critical gap in proactive care for conditions like dementia or mild cognitive impairment.
8. The system of claim 2 , wherein the at least one processor is configured to identify based on the comparison a handwashing state, and wherein the remedial action includes storing a record reflecting time spent handwashing.
A system for monitoring and improving hand hygiene practices in healthcare or other settings where handwashing is critical. The system addresses the problem of inconsistent handwashing compliance, which can lead to infections and disease transmission. It includes sensors to detect handwashing activity, such as motion sensors, water flow detectors, or soap dispenser usage, and at least one processor that analyzes sensor data to determine whether proper handwashing is occurring. The processor compares the detected activity against predefined handwashing standards, such as duration, frequency, or technique. If the comparison indicates non-compliance, the system triggers a remedial action, such as an alert or feedback to the user. In this specific embodiment, the processor identifies a handwashing state based on the comparison and stores a record of the time spent handwashing. This data can be used for training, compliance tracking, or performance evaluation. The system may also include additional features, such as user identification, automated reminders, or integration with existing hygiene protocols. The goal is to ensure proper handwashing practices through real-time monitoring and feedback.
9. The system of claim 2 , wherein at least two stored water usage patterns are associated with a particular appliance.
A system for monitoring and analyzing water usage in a building or facility is designed to identify and track water consumption patterns associated with specific appliances. The system includes sensors that detect water flow and pressure, along with a processing unit that records and analyzes the data. The system is capable of distinguishing between different appliances based on their unique water usage signatures, such as flow rates, pressure changes, and timing patterns. By associating at least two distinct water usage patterns with a particular appliance, the system can accurately identify when that appliance is in use, even if multiple appliances operate simultaneously. This allows for precise monitoring of water consumption, detection of leaks or anomalies, and optimization of water usage. The system may also include a database for storing historical usage data and a user interface for displaying real-time and historical water consumption information. The ability to link multiple usage patterns to a single appliance enhances the system's accuracy in distinguishing between different water-consuming devices, improving overall water management efficiency.
10. The system of claim 9 , wherein the at least two stored water usage patterns are associated with a faucet, and wherein a first water usage pattern corresponds to a duration of use of the faucet that is shorter than a duration of use associated with a second water usage pattern.
A system for monitoring and analyzing water usage patterns associated with a faucet is disclosed. The system addresses the need to differentiate between distinct water usage behaviors to optimize water conservation and detect anomalies. The system stores at least two water usage patterns linked to a faucet, where each pattern represents a unique usage scenario. A first pattern corresponds to a shorter faucet usage duration, while a second pattern corresponds to a longer usage duration. The system may include sensors to detect water flow and duration, a processor to analyze the data, and a memory to store the patterns. By distinguishing between short and long usage events, the system can identify inefficient water use, such as prolonged faucet operation, and provide insights for conservation. The system may also compare real-time usage against stored patterns to detect deviations, such as leaks or abnormal consumption. This enables proactive water management and reduces waste. The system may integrate with smart home devices or utility monitoring systems for broader applications. The invention improves water efficiency by leveraging pattern recognition to distinguish between different usage behaviors.
11. The system of claim 9 , wherein a first water usage pattern corresponds to a shower, and the remedial action includes at least one of pulsing a valve to send a pulsed water signal to the shower, and recording a shower duration.
A system monitors water usage patterns in a plumbing network to detect and address leaks or inefficiencies. The system identifies specific water usage patterns, such as those associated with showers, and takes remedial actions to mitigate issues. For a shower pattern, the system can pulse a valve to send a pulsed water signal, which may help diagnose or alert users to abnormal water flow. Additionally, the system records the duration of the shower to track usage and detect anomalies. The system may also include sensors to measure water flow, pressure, or temperature, and a controller to analyze the data and trigger corrective actions. By distinguishing between normal usage (e.g., showers) and potential leaks, the system optimizes water conservation and prevents waste. The system can be integrated into residential or commercial plumbing networks to enhance efficiency and reduce water loss.
12. The system of claim 2 , wherein the digestive disorder is a bowel irregularity.
A system for managing digestive disorders, particularly bowel irregularities, includes a wearable device that monitors physiological parameters such as gut motility, bowel sounds, and abdominal pressure. The device collects real-time data and transmits it to a processing unit, which analyzes the data to detect irregularities in bowel function. The system also incorporates a user interface that provides feedback to the user, such as recommendations for dietary adjustments, hydration levels, or lifestyle changes based on the analyzed data. Additionally, the system may include a database that stores historical data for long-term tracking and pattern recognition, allowing for personalized insights and predictive alerts. The wearable device may use sensors such as accelerometers, microphones, or pressure sensors to gather relevant physiological measurements. The processing unit applies algorithms to interpret the sensor data and identify deviations from normal bowel function, which may indicate conditions like constipation, diarrhea, or other bowel irregularities. The system aims to improve digestive health by providing timely, actionable insights to users and healthcare providers.
13. The system of claim 2 , wherein at least one stored water usage pattern includes at least a first pattern corresponding to toilet usage and a second pattern corresponding to sink usage, and wherein the at least one processor is configured to use the at least a first pattern and the at least a second pattern to determine whether hands were washed following toilet usage.
This invention relates to a water usage monitoring system designed to analyze and interpret water flow patterns in a plumbing system to detect specific activities, such as toilet and sink usage. The system addresses the challenge of tracking water consumption and hygiene practices by distinguishing between different types of water usage events. The system includes sensors that measure water flow rates and durations, which are then processed to identify distinct patterns associated with toilet flushing and sink usage. By comparing these patterns, the system determines whether hands were washed after toilet use, providing insights into hygiene compliance. The system stores predefined water usage patterns for different activities and uses these patterns to classify real-time water events. The processor analyzes the sequence and characteristics of water flow to differentiate between toilet flushing and sink usage, ensuring accurate detection of post-toilet handwashing behavior. This technology supports applications in public health monitoring, water conservation, and automated hygiene compliance systems.
14. The system of claim 2 , wherein at least one stored water usage pattern reflects an extended period of non-water use, wherein the associated health state includes incapacity, and wherein the remedial action includes sending a message to a contact indicating likely incapacity.
A system monitors water usage patterns to detect potential health issues in a monitored individual. The system stores historical water usage data and compares it to current usage to identify deviations. At least one stored pattern corresponds to an extended period of non-water use, which is associated with a health state of incapacity. When this pattern is detected, the system triggers a remedial action by sending a message to a designated contact, alerting them to the likely incapacity of the monitored individual. The system may also include sensors to collect water usage data, a processor to analyze the data, and a communication module to transmit alerts. The system can be integrated into a home or facility to provide continuous monitoring and early detection of potential health emergencies. By identifying prolonged periods without water use, the system helps prevent adverse outcomes by prompting timely intervention from caregivers or emergency services. The system may also include additional features such as customizable thresholds for detecting abnormal usage patterns and multiple contact options for alerts.
15. The system of claim 2 , wherein at least one stored water usage pattern includes an amount of water usage below a threshold, wherein the associated health state includes unhealthiness, and wherein the remedial action includes sending a message to a remote recipient indicating the probable unhealthiness.
This invention relates to a system for monitoring water usage patterns to detect potential health issues in individuals. The system addresses the problem of identifying when a person's water consumption falls below a safe threshold, which may indicate dehydration or other health concerns. The system collects and analyzes water usage data from a water dispenser or similar device, comparing it against predefined patterns to determine if the usage is abnormally low. When a pattern of insufficient water intake is detected, the system generates an alert indicating a probable unhealthy state. The alert is then transmitted to a remote recipient, such as a caregiver or medical professional, to prompt timely intervention. The system may also include features for tracking multiple users, storing historical data, and adjusting thresholds based on individual needs. By automating the detection of abnormal water consumption, the system helps prevent dehydration-related health risks, particularly for vulnerable populations like the elderly or individuals with chronic conditions. The invention combines water monitoring technology with health alert mechanisms to provide proactive health management.
16. The system of claim 2 , wherein at least one stored water usage pattern reflects prolonged water usage of an appliance beyond a threshold, wherein the associated health state includes dementia, and wherein the remedial action includes sending a message indicating a probability of dementia.
This system monitors water usage patterns to detect potential health issues, particularly dementia, by analyzing prolonged water usage beyond a predefined threshold. The system stores water usage data from various appliances and compares it against predefined patterns to identify anomalies. When prolonged water usage is detected, the system associates it with a health state, such as dementia, and triggers a remedial action. The remedial action involves sending a message indicating the probability of dementia, alerting caregivers or medical professionals to the potential condition. The system may also include a water supply control mechanism to manage water flow based on the detected patterns, ensuring safety and preventing excessive water usage. By continuously monitoring and analyzing water usage, the system provides early detection of cognitive decline, allowing for timely intervention and support. The system integrates with existing plumbing infrastructure and can be deployed in residential or healthcare settings to enhance safety and well-being for individuals at risk of dementia.
17. The system of claim 2 , wherein at least one stored water usage pattern reflects prolonged water usage of an appliance beyond a threshold, wherein the associated health state includes an injury, and wherein the remedial action includes contacting emergency services.
This invention relates to a system for monitoring water usage patterns to detect potential health risks, particularly in residential or commercial settings. The system identifies abnormal water usage that may indicate an injury or emergency situation, such as prolonged water usage by an appliance beyond a predefined threshold. When such a pattern is detected, the system determines that the associated health state includes an injury and triggers a remedial action, which involves automatically contacting emergency services to ensure timely assistance. The system may also include a database of stored water usage patterns, each linked to a specific health state and corresponding remedial action. By analyzing real-time water usage data against these patterns, the system can proactively respond to emergencies, such as a person trapped near a running appliance or a medical incident involving water. The invention enhances safety by leveraging water usage monitoring to infer health risks and initiate appropriate interventions.
18. The system of claim 2 , wherein the at least one processor is further configured to determine from the current water usage pattern when an inhabitant is likely away from home and the remedial action includes sending an alert relating to water usage during an away period.
This invention relates to a water monitoring system designed to detect and respond to abnormal water usage patterns in a residential or commercial setting. The system addresses the problem of undetected water leaks or excessive usage, which can lead to wasted resources, property damage, or higher utility costs. The system includes sensors to monitor water flow and usage data, which is analyzed by a processor to identify deviations from normal patterns. If unusual activity is detected, the system can trigger automated responses, such as shutting off the water supply or sending alerts to the property owner or a monitoring service. A key feature of the system is its ability to learn and adapt to the typical water usage habits of the inhabitants. By analyzing historical data, the system can distinguish between routine usage and potential issues, such as leaks or unauthorized access. The system also determines when the property is likely unoccupied by detecting prolonged periods of inactivity or deviations from expected usage patterns. If significant water usage occurs during these away periods, the system generates an alert to notify the owner or a monitoring service, helping to prevent water waste or damage. The system may also include remote access capabilities, allowing users to monitor and control the water supply from a mobile device or computer. This ensures timely intervention even when the user is not physically present. The invention aims to improve water conservation, reduce costs, and minimize property damage by providing proactive monitoring and automated responses to abnormal water usage.
19. The system of claim 2 , wherein the at least one sensor has a resolution of at least 1 liter per hour.
A system for monitoring fluid flow in industrial or medical applications addresses the need for accurate and reliable measurement of fluid transfer rates. The system includes at least one sensor capable of detecting fluid flow with a resolution of at least 1 liter per hour, ensuring precise measurement of small flow variations. The sensor is integrated into a fluid transfer apparatus, such as a pump or a valve, to continuously monitor flow rates in real time. The system may also include a controller that processes sensor data to detect anomalies, such as leaks or blockages, and adjusts the fluid transfer rate accordingly. Additionally, the system may feature a user interface for displaying flow data and alerts, allowing operators to take corrective actions. The high-resolution sensor ensures that even minor changes in flow are detected, improving safety and efficiency in applications like chemical processing, medical infusion, or water treatment. The system may also include calibration mechanisms to maintain measurement accuracy over time. By providing precise and continuous flow monitoring, the system enhances process control and reduces the risk of errors or failures in fluid transfer operations.
20. The system of claim 2 , wherein the at least one processor is further configured to determine from an increased frequency of water usage patterns that an increased number of users are using the system, and send an alert.
A water monitoring system detects and analyzes water usage patterns to identify anomalies and potential issues. The system includes sensors that measure water flow rates, pressure, and other relevant parameters in a plumbing network. At least one processor processes this data to detect usage patterns, such as sudden increases in water consumption. The system is configured to determine when an increased frequency of water usage patterns indicates a higher number of users than expected, which may signal unauthorized access, leaks, or other problems. When such a condition is detected, the system generates and sends an alert to a monitoring device or user interface, notifying the appropriate personnel of the potential issue. The alert may include details about the detected pattern, such as the time, location, and severity of the anomaly, allowing for timely intervention. This feature helps prevent water waste, detect leaks, and ensure efficient water management in residential, commercial, or industrial settings. The system may also integrate with existing plumbing infrastructure and communicate wirelessly to provide real-time monitoring and alerts.
Unknown
June 16, 2020
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